https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/challenge2_solution_Xinpeng_Liu.html

[giscus[bot]]

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/challenge2_solution_Xinpeng_Liu.html

Data wrangling: using group() and summarise()

https://dacss.github.io/DACSS_601_Summer2023_Sec1/posts/challenge2_solution_Xinpeng_Liu.html

[sp-conway]

Hi Xinpeng,

I would suggest presenting these results in a way that's easier on the reader. Rather than create two dataframes, one for alabama and one for california, I would use a filter-group_by-summarise pipeline to print out a summary table.

Something like

railroad_data %>%
   filter(state %in% c("AL","CA")) %>%
   group_by(state) %>%
   summarise(min=min(total_employees),....)

Also, please include the following in your header to make the dataframes print more cleanly.

format: 
   html:
     df-print: paged

See https://quarto.org/docs/computations/r.html#data-frames for more details.